Theory and Algorithms
Adaptive signal processing, machine learning, and signal modeling; indexing, searching, and retrieval; Multirate and multi-channel processing; Restoration and enhancement; Signal analysis, identification, spectral estimation, and understanding; Signal representation, compression, coding, quantization and sampling; Statistical signal processing, detection, estimation, and classification; Watermarking, encryption, and data hiding; Wavelets, filter banks, time frequency techniques
